Inertia estimation of the GB power system using synchrophasor measurements

Ashton, Philip; Saunders, Chris; Taylor, Gareth; Carter, Alex; Bradley, Michael P.

doi:10.1109/pesgm.2017.8274031

Cited by 46 publications

(85 citation statements)

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“…2) Inertia Variability: The level of inertia present in the system at any point in time is heavily dependent on the generation mix dispatched for that particular day and time [32], [90], [91], e.g., many synchronous machines may be disconnected when the weather forecast favors renewable generation. In [90], the time-dependent system inertia in Germany for the year 2012 is computed and presented based on an aggregated system model.…”

Section: Issues Arisingmentioning

confidence: 99%

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Milano

Dörfler

Hug

et al. 2018

2018 Power Systems Computation Conference (PSCC)

672

504

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The electric power system is currently undergoing a period of unprecedented changes. Environmental and sustainability concerns lead to replacement of a significant share of conventional fossil fuel-based power plants with renewable energy resources. This transition involves the major challenge of substituting synchronous machines and their well-known dynamics and controllers with power electronics-interfaced generation whose regulation and interaction with the rest of the system is yet to be fully understood. In this article, we review the challenges of such low-inertia power systems, and survey the solutions that have been put forward thus far. We strive to concisely summarize the laidout scientific foundations as well as the practical experiences of industrial and academic demonstration projects. We touch upon the topics of power system stability, modeling, and control, and we particularly focus on the role of frequency, inertia, as well as control of power converters and from the demand-side.

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Section: Issues Arisingmentioning

confidence: 99%

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Milano

Dörfler

Hug

et al. 2018

2018 Power Systems Computation Conference (PSCC)

672

504

View full text Add to dashboard Cite

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“…This technique not only estimates the infeed loss accurately similar to the technique reported in [31], but it also ensures the desired post-fault reduction in aggregate power consumption of the distributed TCLs.…”

Section: Introductionmentioning

confidence: 94%

Advanced control of thermostatic loads for rapid frequency response in Great Britain

Trovato

Martinez-Sanz

Chaudhuri

et al. 2017

2017 IEEE Manchester PowerTech

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Abstract-In the Great Britain power system, reduced system inertia (particularly during low demand conditions) and larger possible infeed loss would make grid frequency regulation extremely challenging in future. Traditional primary frequency response could be insufficient to limit the frequency variation within acceptable range. This paper shows that thermostatically controlled loads (TCLs) (domestic refrigerators) can be controlled without real-time communication and in a non-disruptive way to collectively enhance the network frequency response. The aggregated power consumption of TCLs, distributed across the system, could be controlled as a 'linear' function of the locally measured frequency and its rate of change. Alternatively, their aggregated consumption could be made to follow a 'pre-set' power profile depending on the estimated infeed loss. A novel technique for accurate estimation of infeed loss and consequent post-fault TCL power reduction is also proposed. The effectiveness of the two TCL control strategies are compared for primary and secondary frequency response through a case study on a 36 busbar reduced equivalent of the Great Britain power system. The effect of spatial variation of transient frequencies and the time delays in frequency measurement and filtering are considered to show how the TCLs can realistically provide rapid frequency response.

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“…Furthermore, such estimates can provide helpful insights into the stable real-time operation of a power system. Inertia estimation using frequency transients measured using synchronized phasor measurement units (PMUs) was proposed in [107,108]. In [109], a method to estimate the inertial response of power system under high wind penetration based on the swing equation is presented.…”

Section: Inertia Estimationmentioning

confidence: 99%

Virtual Inertia: Current Trends and Future Directions

et al. 2017

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Abstract:The modern power system is progressing from a synchronous machine-based system towards an inverter-dominated system, with large-scale penetration of renewable energy sources (RESs) like wind and photovoltaics. RES units today represent a major share of the generation, and the traditional approach of integrating them as grid following units can lead to frequency instability. Many researchers have pointed towards using inverters with virtual inertia control algorithms so that they appear as synchronous generators to the grid, maintaining and enhancing system stability. This paper presents a literature review of the current state-of-the-art of virtual inertia implementation techniques, and explores potential research directions and challenges. The major virtual inertia topologies are compared and classified. Through literature review and simulations of some selected topologies it has been shown that similar inertial response can be achieved by relating the parameters of these topologies through time constants and inertia constants, although the exact frequency dynamics may vary slightly. The suitability of a topology depends on system control architecture and desired level of detail in replication of the dynamics of synchronous generators. A discussion on the challenges and research directions points out several research needs, especially for systems level integration of virtual inertia systems.

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Inertia estimation of the GB power system using synchrophasor measurements

Cited by 46 publications

References 0 publications

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Advanced control of thermostatic loads for rapid frequency response in Great Britain

Virtual Inertia: Current Trends and Future Directions

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